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Recent Advances of Large-scale Linear Classification
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@MISC{Yuan_recentadvances,
author = {Guo-xun Yuan and Chia-hua Ho and Chih-jen Lin},
title = {Recent Advances of Large-scale Linear Classification},
year = {}
}
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Abstract
Linear classification is a useful tool in machine learning and data mining. For some data in a rich dimensional space, the performance (i.e., testing accuracy) of linear classifiers has shown to be close to that of nonlinear classifiers such as kernel methods, but training and testing speed is much faster. Recently, many research works have developed efficient optimization methods to construct linear classifiers and applied them to some large-scale applications. In this paper, we give a comprehensive survey on the recent development of this active research area.
Keyphrases
large-scale linear classification recent advance linear classifier large-scale application recent development useful tool nonlinear classifier kernel method rich dimensional space comprehensive survey linear classification data mining many research work machine learning active research area efficient optimization method
